Robot Picking and Packing Improvement for EC (Vanning Master)

basic information

Rapyuta PA-AMR: This is the latest robotic solution that can be easily implemented on-site, improving productivity in picking operations, reducing the burden on workers, and addressing the issue of labor shortages. With the cloud robotics platform "rapyuta.io" and swarm control AI, multiple robots collaborate to transport goods along optimal routes. Box Selection Algorithm (Banning Master): By precisely calculating the types and sizes of packaging boxes (cardboard) to be used based on the order details (e-commerce), this improves the packing process. It allows for understanding the types and quantities of cardboard to be used according to the order, enabling the selection of the smallest packaging box and thus reducing delivery costs.

Price range

Delivery Time

Applications/Examples of results

Improvement of productivity and cost reduction in picking and packing processes Laputa PA-AMR (Improvement of the picking process): Autonomous robots support picking tasks performed by workers. With 2 to 3 robots assisting each worker, there has been an achievement of approximately double the productivity improvement. *Initial costs are kept low, and subscription-based usage is available. Box selection algorithm (Improvement of the packing process): An algorithm that automatically selects the appropriate packing box for orders. By selecting the right packing box for orders, there has been a 7% reduction in shipping costs. Additionally, the ability to prepare packing boxes before packing improves the packing process. *It is possible to verify the reduction in shipping costs through pre-implementation test simulations (free of charge). Implementation can be carried out after verifying cost-effectiveness.

Detailed information

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  We propose a cargo algorithm that allows for the introduction of autonomous driving robots through a subscription model, enabling a decision on implementation to be made after confirming cost-effectiveness.

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  Proposing empty space suggestions for buyers in shopping carts (e-commerce). In logistics centers, improving productivity through collaborative picking robots in the picking process. Additionally, proposing productivity improvements and cost reductions through box selection algorithms in the packing process.

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  【Order Reception (Shopping Cart)】 Calculating the empty space in the packaging box at the time of order reception. We will propose methods to the buyer to prevent unnecessary space and optimize the ordering process.

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  Introduction of Picking Robots in the Picking Process The picking robot moves in front of the shelf containing the items to be picked, allowing the worker to focus solely on handing the items to the picking robot. This dramatically improves productivity in the picking process and enables the reduction of labor shortages and labor costs.

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  Utilization of Box Selection Algorithm in Packaging Process This is an algorithm that automatically calculates the packaging cardboard to be used for orders. By selecting the appropriate packaging cardboard, it enables improvements in productivity in the packaging process and reductions in shipping costs.